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- W2989592807 abstract "Food contains various compounds, and there are many methods available to analyze each of these components. However, the large amounts of low-molecular-weight metabolites in food, such as amino acids, organic acids, vitamins, lipids, and toxins, make it difficult to analyze the spatial distribution of these molecules. Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) imaging is a two-dimensional ionization technology that allows the detection of small metabolites in tissue sections without requiring purification, extraction, separation, or labeling. The application of MALDI-MS imaging in food analysis improves the visualization of these compounds to identify not only the nutritional content but also the geographical origin of the food. In this review, we provide an overview of some recent applications of MALDI-MS imaging, demonstrating the advantages and prospects of this technology compared to conventional approaches. Further development and enhancement of MALDI-MS imaging is expected to offer great benefits to consumers, researchers, and food producers with respect to breeding improvement, traceability, the development of value-added foods, and improved safety assessments." @default.
- W2989592807 created "2019-12-05" @default.
- W2989592807 creator A5003884454 @default.
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- W2989592807 creator A5045799481 @default.
- W2989592807 creator A5069565529 @default.
- W2989592807 date "2019-12-02" @default.
- W2989592807 modified "2023-09-27" @default.
- W2989592807 title "Application of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging for Food Analysis" @default.
- W2989592807 cites W1156528164 @default.
- W2989592807 cites W1182461782 @default.
- W2989592807 cites W1599833391 @default.
- W2989592807 cites W1890235372 @default.
- W2989592807 cites W1898861864 @default.
- W2989592807 cites W1968633108 @default.
- W2989592807 cites W1974830441 @default.
- W2989592807 cites W1983566662 @default.
- W2989592807 cites W1984793813 @default.
- W2989592807 cites W1987525288 @default.
- W2989592807 cites W1995342785 @default.
- W2989592807 cites W2013619845 @default.
- W2989592807 cites W2014160033 @default.
- W2989592807 cites W2019571295 @default.
- W2989592807 cites W2021699171 @default.
- W2989592807 cites W2024127570 @default.
- W2989592807 cites W2026805051 @default.
- W2989592807 cites W2026916042 @default.
- W2989592807 cites W2030068202 @default.
- W2989592807 cites W2033278243 @default.
- W2989592807 cites W2042282234 @default.
- W2989592807 cites W2044646383 @default.
- W2989592807 cites W2046352381 @default.
- W2989592807 cites W2048164554 @default.
- W2989592807 cites W2049583023 @default.
- W2989592807 cites W2051683517 @default.
- W2989592807 cites W2057652593 @default.
- W2989592807 cites W2059396924 @default.
- W2989592807 cites W2063592545 @default.
- W2989592807 cites W2066377726 @default.
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- W2989592807 cites W2071114978 @default.
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- W2989592807 cites W2084397718 @default.
- W2989592807 cites W2089706020 @default.
- W2989592807 cites W2108618189 @default.
- W2989592807 cites W2109944965 @default.
- W2989592807 cites W2130016798 @default.
- W2989592807 cites W2134003086 @default.
- W2989592807 cites W2150979017 @default.
- W2989592807 cites W2155368917 @default.
- W2989592807 cites W2157693031 @default.
- W2989592807 cites W2165081076 @default.
- W2989592807 cites W2328610864 @default.
- W2989592807 cites W2344534747 @default.
- W2989592807 cites W2439771544 @default.
- W2989592807 cites W2490100317 @default.
- W2989592807 cites W2525511854 @default.
- W2989592807 cites W2556408272 @default.
- W2989592807 cites W2560643085 @default.
- W2989592807 cites W2569435927 @default.
- W2989592807 cites W2586959446 @default.
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- W2989592807 cites W2885180374 @default.
- W2989592807 cites W2888085675 @default.
- W2989592807 cites W2888107554 @default.
- W2989592807 cites W2897254565 @default.
- W2989592807 cites W2899586783 @default.
- W2989592807 cites W2909684865 @default.
- W2989592807 cites W2913222114 @default.
- W2989592807 cites W2913685671 @default.
- W2989592807 cites W2929782212 @default.
- W2989592807 cites W2936682664 @default.
- W2989592807 cites W2947414154 @default.
- W2989592807 cites W2948767975 @default.
- W2989592807 cites W2951211035 @default.
- W2989592807 cites W2963059395 @default.
- W2989592807 cites W2970286047 @default.
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- W2989592807 doi "https://doi.org/10.3390/foods8120633" @default.
- W2989592807 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6963588" @default.
- W2989592807 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31810360" @default.
- W2989592807 hasPublicationYear "2019" @default.
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